AR Windshield Risk Alerts for Autonomous Vehicle Occupants
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Occupants in vehicles experience discomfort during autonomous driving due to a sense of disconnection between the vehicle's actions and their own perceptions, particularly in dangerous situations, necessitating intuitive collision risk notification.
Innovation Solution
A smart notification device using an augmented reality head-up display (AR HUD) projects risk objects onto the vehicle's glass, overlaying them with real objects and adjusting colors based on collision risk levels, and provides visual, auditory, and tactile alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous driving operates at level 4 or higher without driver intervention, then automation extent is improved, but occupant comfort and awareness deteriorate due to disconnection between vehicle actions and occupant perception
Solution Approach 1:
The patent introduces an AR HUD system as an intermediary between the autonomous driving system and the occupant. The HUD projects risk objects and driving environment information onto the windshield, serving as a mediator that bridges the information gap created by high-level automation. This allows the occupant to perceive the autonomous system's understanding of the environment without requiring direct driver intervention.
Solution Approach 2:
The system implements feedback by continuously monitoring occupant state (gaze direction, seat position) and adjusting the projection of risk objects accordingly. The AR HUD provides real-time feedback about the autonomous driving system's risk assessment to the occupant, creating a closed-loop information flow that maintains occupant awareness despite high automation levels.
2Loss of information
If the system projects detailed risk objects onto the glass, then occupant awareness is improved, but device complexity increases due to AR HUD integration
Solution Approach 1:
The AR HUD system is designed to perform multiple functions: displaying risk objects, showing driving environment information, and adapting to occupant state. By making the HUD multi-functional, the patent reduces the need for separate systems for each function, thereby managing complexity while providing comprehensive information to the occupant.
Solution Approach 2:
The system projects risk objects selectively based on local conditions - specifically, based on the occupant's gaze direction and seat position. Rather than displaying all possible information uniformly, the system adapts the content and position of projections to the specific local context of each occupant, optimizing information delivery without requiring excessive system complexity.
3Ease of operation
If the system adapts risk object projection to occupant state and gaze, then notification effectiveness is improved, but measurement precision requirements increase for sensing occupant parameters
Solution Approach 1:
The system implements partial adaptation by focusing on key occupant parameters (gaze direction, seat position) rather than attempting to measure and respond to all possible occupant states. This selective approach provides sufficient notification effectiveness without requiring excessive measurement precision across all potential parameters.
Data Source
AI summary
An embodiment of a smart notification device for a vehicle configured for autonomous driving, includes an occupant recognition unit configured to sense occupant state information of an occupant in the vehicle, a vehicle recognition unit configured to sense vehicle state information and driving information of the vehicle, a memory storing code, and a processor configured to access the memory and execute the code. The code can include instructions for the processor to collect the occupant state information, the vehicle state information, and the driving information, set a risk of collision based on the collected information, determine the set risk of collision based on a preset risk level, and generate a risk object corresponding the risk of collision. The device of an embodiment includes an augmented reality graphics system configured to project the risk object onto a glass of the vehicle based on a determination result obtained by the determining.